How PepsiCo Reduced Analytics Build Time by 90%

Consumer Packaged Goods (CPG) companies such as PepsiCo rely on the seamless communication between a large interconnected network. In order to be successful, this network includes suppliers, production facilities, logistics partners and retailers. View this recorded webinar to learn how PepsiCo’s Collaborative Planning Forecasting & Replenishment team leverages Hortonworks & Trifacta to transform the process of making raw retail sales and inventory data ready for analysis, and reduced analytic build time by 90%.

Consumer Packaged Goods (CPG) companies such as PepsiCo rely on the seamless communication between a large interconnected network. In order to be successful, this network includes suppliers, production facilities, logistics partners and retailers. View this recorded webinar to learn how PepsiCo’s Collaborative Planning Forecasting & Replenishment team leverages Hortonworks & Trifacta to transform the process of making raw retail sales and inventory data ready for analysis, and reduced analytic build time by 90%.

The success of CPG & Retail companies increasingly relies on insights derived from diverse datasets that are sourced across a large network of suppliers, production facilities, logistics partners and retailers. These datasets vary in size and structure, making data wrangling—discovering, structuring, cleaning, enriching, validating and publishing—a core aspect of analyst workflows. View this recorded webinar as we discuss and demonstrate how data wrangling can empower analysts to rapidly pose and assess hypotheses that can dramatically improve their company’s bottom line through greater efficiency.

Author and Chief Research Officer Howard Dresner discusses his analysis and findings in this Wisdom of Crowds series study on End User Data Preparation. Learn why Trifacta was given the highest rating amongst 26 vendors in this research study. Joe Hellerstein, co-founder and Chief Strategy Officer will discuss the origins of Trifacta, and why our approach to exploratory data preparation enables organizations to quickly turn raw data into strategic assets.

Leading Financial Services organizations are motivated to drive innovation through the exploratory analysis of data of all shapes & sizes. By working with new sources and combinations of data, analysts are uncovering new signals and insights that can be fed back into the business to drive new sources of value.

Watch this recorded webinar from Trifacta and Cloudera and learn how financial institutions are wrangling diverse data in Hadoop to build faster and more accurate processes for uncovering banking or credit card anomalies.

The big data era has lead to the proliferation of new technologies that enable a wider set of users to more effectively analyze and consume data to improve operations and decision making. We’ve moved beyond traditional dashboard visualizations as the sole method of consuming data, and instead are now incorporating data visualizations into nearly every aspect of the analysis process. The discussion will explore the considerations of designing data visualizations to enable fast exploration and profiling of data.

The ability of software to recognize patterns in usage, data or other inputs to improve a user’s experience & productivity is an expected attribute of modern software. In this webinar, Will Davis and Tye Rattenbury discuss how Trifacta is building intelligent software that incorporates learning to make the process of wrangling data more intuitive and efficient.

Matt Aslett, Research Director, 451 Research and Will Davis, Head of Product Marketing, Trifacta

With the maturation and increased adoption of Big Data technologies such as Hadoop, the process for how data flows through an organization is evolving so to ensure these technologies are utilized to their full potential. Traditional technologies for data discovery, governance and preparation simply don’t fit the requirements of this new ecosystem’s technology and users.

Exploratory analytics is the ability to test multiple hypotheses and assumptions to identify the nature of the problem and identify the relevant data sets that could be used for obtaining the necessary actionable insight.

The webinar will demystify how to successfully utilize exploratory analytics.

Trifacta, the pioneer in data transformation, is dedicated to changing the way the world works with data. The company's Data Transformation Platform, powered by the company's unique Predictive Interaction(TM) technology, dramatically increases the value of an enterprise's Big Data by enabling users to easily transform raw, complex data into clean and structured formats for analysis and insight.

Leveraging decades of innovative work in human-computer interaction, scalable data management and machine learning, Trifacta’s unique technology creates a partnership between user and machine, with each side learning from the other and becoming smarter with each iteration. The result: up to 10x greater productivity for data scientists and analysts and significantly better business decisions due to business analysts having direct access and interactions with their data.